AI Researcher

Loora is on a mission to revolutionize education and break down language barriers with its cutting-edge AI, building the first-ever personal AI English tutor. Loora offers its users an AI tutor that is always available to talk about whatever they want, give immediate feedback on English skills, and guide them on their journey to fluency.

We're looking for an AI Researcher to help design and enhance Loora’s core intelligence capabilities. You'll work at the frontier of large language models and conversational AI - run experiments, develop novel techniques, and transform research breakthroughs directly into product impact. This is a role for someone who wants to research real-world challenges and ship to production: you'll be pushing the state of the art in domains like conversational dynamics, speech understanding, and agentic question answering, while seeing your work reach millions of language learners.

What You'll Do

• Drive original AI research across LLMs, dialogue systems, speech, and language understanding — from hypothesis through design and all the way to deployment
• Design and run rigorous experiments; develop novel model architectures, fine-tuning strategies, and training methodologies
• Own the full research lifecycle — ideation, experimentation, evaluation, and deployment into production
• Apply and extend state-of-the-art techniques (RL, instruction tuning, RAG, agentic workflows, multimodal models) to real user-facing challenges
• Collaborate with engineering and product to transform research findings into shipped features
• Define research direction in your area and contribute to Loora's long-term AI roadmap
  
  

• MSc or PhD in Machine Learning, AI, NLP, or a related field
• A track record of bringing academic research to industry applications
• A strong publication record at top-tier venues — NeurIPS, ICML, ICLR, ACL, EMNLP, or NAACL
• Proven experience researching and deploying production-grade ML or AI systems
• Deep hands-on experience with PyTorch, Transformers, and modern LLM tooling
• Solid understanding of LLM pretraining, fine-tuning, post-training and alignment techniques
• Strong coding skills and comfort working across the research-to-production boundary